amazon-connect / amazon-connect-workshops
Conditional Complexity

The distribution of complexity of units (measured with McCabe index).

Intro
  • Conditional complexity (also called cyclomatic complexity) is a term used to measure the complexity of software. The term refers to the number of possible paths through a program function. A higher value ofter means higher maintenance and testing costs (infosecinstitute.com).
  • Conditional complexity is calculated by counting all conditions in the program that can affect the execution path (e.g. if statement, loops, switches, and/or operators, try and catch blocks...).
  • Conditional complexity is measured at the unit level (methods, functions...).
  • Units are classified in four categories based on the measured McCabe index: 1-5 (simple units), 6-10 (medium complex units), 11-25 (complex units), 26+ (very complex units).
Learn more...
Conditional Complexity Overall
  • There are 178 units with 2,584 lines of code in units (78.0% of code).
    • 0 very complex units (0 lines of code)
    • 1 complex units (123 lines of code)
    • 11 medium complex units (500 lines of code)
    • 22 simple units (628 lines of code)
    • 144 very simple units (1,333 lines of code)
0% | 4% | 19% | 24% | 51%
Legend:
51+
26-50
11-25
6-10
1-5
Alternative Visuals
Conditional Complexity per Extension
51+
26-50
11-25
6-10
1-5
py0% | 4% | 19% | 24% | 51%
Conditional Complexity per Logical Component
primary logical decomposition
51+
26-50
11-25
6-10
1-5
lambdas/modifyCTR0% | 17% | 15% | 9% | 56%
lambdas/modifyCTR/isodate0% | 0% | 32% | 27% | 40%
scripts/quicksight0% | 0% | 23% | 41% | 34%
scripts/mockCTRs0% | 0% | 9% | 35% | 55%
scripts/lex0% | 0% | 0% | 11% | 88%
lambdas/updatePartitions0% | 0% | 0% | 0% | 100%
lambdas/firehoseAddNewLine0% | 0% | 0% | 0% | 100%
Most Complex Units
Top 20 most complex units
Unit# linesMcCabe index# params
def flatten_preserve_lists()
in visualizeConnectData/lambdas/modifyCTR/flatten_json.py
123 38 3
def getTableProperties()
in visualizeConnectData/scripts/quicksight/deploy.py
69 23 4
def print_()
in visualizeConnectData/lambdas/modifyCTR/six.py
50 22 2
def parse_date()
in visualizeConnectData/lambdas/modifyCTR/isodate/isodates.py
66 20 5
def _strfduration()
in visualizeConnectData/lambdas/modifyCTR/isodate/isostrf.py
44 19 3
def build_date_regexps()
in visualizeConnectData/lambdas/modifyCTR/isodate/isodates.py
55 16 2
def parse_duration()
in visualizeConnectData/lambdas/modifyCTR/isodate/isoduration.py
41 14 1
def unflatten_list()
in visualizeConnectData/lambdas/modifyCTR/flatten_json.py
26 12 2
def main()
in visualizeConnectData/scripts/mockCTRs/create.py
34 12 0
def tz_isoformat()
in visualizeConnectData/lambdas/modifyCTR/isodate/isotzinfo.py
32 11 2
def modifyFlattenData()
in visualizeConnectData/lambdas/modifyCTR/lambda_function.py
33 11 1
def getCurrentUserInfo()
in visualizeConnectData/scripts/quicksight/deploy.py
50 11 0
def __add__()
in visualizeConnectData/lambdas/modifyCTR/isodate/duration.py
34 10 2
def parse_time()
in visualizeConnectData/lambdas/modifyCTR/isodate/isotime.py
49 10 1
def flatten()
in visualizeConnectData/lambdas/modifyCTR/flatten_json.py
20 10 3
def __rsub__()
in visualizeConnectData/lambdas/modifyCTR/isodate/duration.py
35 8 2
def duration_isoformat()
in visualizeConnectData/lambdas/modifyCTR/isodate/isoduration.py
16 8 2
def ensure_str()
in visualizeConnectData/lambdas/modifyCTR/six.py
10 8 3
def __eq__()
in visualizeConnectData/lambdas/modifyCTR/isodate/duration.py
14 7 2
def __ne__()
in visualizeConnectData/lambdas/modifyCTR/isodate/duration.py
14 7 2